A Gentle Introduction to Data, Learning, and Model Order Reduction Techniques and Twinning Methodologies /

A Gentle Introduction to Data, Learning, and Model Order Reduction Techniques and Twinning Methodologies /

Podrobná bibliografie
Hlavní autoři: Chinesta, Francisco (Autor), Cueto, Elías (Autor), Champaney, Victor (Autor), Ghnatios, Chady (Autor), Ammar, Amine (Autor), Hascoët, Nicolas (Autor), González, David (Autor), Alfaro, Icíar (Autor), Di Lorenzo, Daniele (Autor), Pasquale, Angelo (Autor), Baillargeat, Dominique (Autor)
Korporativní autor: SpringerLink (Online service)
Shrnutí:XVI, 227 p. 33 illus., 29 illus. in color.
text
Jazyk:angličtina
Vydáno: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Edice:Studies in Big Data, 174
Témata:
Computational intelligence.
Mathematics > Data processing.
Machine learning.
Computational Intelligence.
Computational Science and Engineering.
Machine Learning.
On-line přístup:https://doi.org/10.1007/978-3-031-87572-4
Médium: Elektronický zdroj Kniha
Obsah:
  • Abstract
  • Extended summary
  • Part 1.Around Data
  • Part 2.Around Learning
  • Part 3. Around Reduction
  • Part 4. Around Data Assimilation & Twinning.

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